AIMC Topic: Computer Simulation

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Noise Correlations for Faster and More Robust Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
Distributed population codes are ubiquitous in the brain and pose a challenge to downstream neurons that must learn an appropriate readout. Here we explore the possibility that this learning problem is simplified through inductive biases implemented ...
Discrimination, Psychological Animals Models, Neurological Attention Humans Signal-To-Noise Ratio Computer Simulation Learning Neural Networks, Computer Brain
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Traction force microscopy by deep learning.

Biophysical journal Jun 30, 2021
Cells interact mechanically with their surroundings by exerting and sensing forces. Traction force microscopy (TFM), purported to map cell-generated forces or stresses, represents an important tool that has powered the rapid advances in mechanobiolog...
Deep Learning Models, Theoretical Computer Simulation Microscopy, Atomic Force Traction
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Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy.

IEEE transactions on medical imaging Jun 30, 2021
Super-resolution (SR) methods have seen significant advances thanks to the development of convolutional neural networks (CNNs). CNNs have been successfully employed to improve the quality of endomicroscopy imaging. Yet, the inherent limitation of res...
Neural Networks, Computer Computer Simulation Humans
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Safer chemicals using less animals: kick-off of the European ONTOX project.

Toxicology Jun 30, 2021
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing...
Animal Testing Alternatives Gene Ontology In Vitro Techniques Toxicity Tests European Union Artificial Intelligence Humans Animals Risk Assessment Computer Simulation
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BOTNet: Deep Learning-Based Bearings-Only Tracking Using Multiple Passive Sensors.

Sensors (Basel, Switzerland) Jun 29, 2021
Bearings-only target tracking is commonly used in many fields, like air or sea traffic monitoring, tracking a member in a formation, and military applications. When tracking with synchronous passive multisensor systems, each sensor provides a line-of...
Deep Learning Least-Squares Analysis Algorithms Computer Simulation
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DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software.

Radiation oncology (London, England) Jun 29, 2021
BACKGROUND: Any Monte Carlo simulation of dose delivery using medical accelerator-generated megavolt photon beams begins by simulating electrons of the primary electron beam interacting with a target. Because the electron beam characteristics of any ...
Phantoms, Imaging Radiotherapy Dosage Particle Accelerators Photons Monte Carlo Method Electrons Radiotherapy Planning, Computer-Assisted Machine Learning Software Humans Regression Analysis Principal Component Analysis Computer Simulation Models, Statistical
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Two degree-of-freedom robotic eye: design, modeling, and learning-based control in foveation and smooth pursuit.

Bioinspiration & biomimetics Jun 29, 2021
With increasing ocular motility disorders affecting human eye movement, the need to understand the biomechanics of the human eye rises constantly. A robotic eye system that physically mimics the human eye can serve as a useful tool for biomedical res...
Humans Pursuit, Smooth Robotic Surgical Procedures Nonlinear Dynamics Computer Simulation Robotics
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Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network.

Computational intelligence and neuroscience Jun 29, 2021
In the human resource system of modern enterprises, human-post matching big data occupies an important irreplaceable position. With the deepening of the reform of state-owned enterprises, some shortcomings of human-post matching big data have become ...
Computer Simulation Humans Neural Networks, Computer
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A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction.

Sensors (Basel, Switzerland) Jun 28, 2021
The influence of earthquake disasters on human social life is positively related to the magnitude and intensity of the earthquake, and effectively avoiding casualties and property losses can be attributed to the accurate prediction of earthquakes. In...
Humans Computer Simulation Disasters Earthquakes Deep Learning Electromagnetic Phenomena
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Optimization of Position and Number of Hotspot Detectors Using Artificial Neural Network and Genetic Algorithm to Estimate Material Levels Inside a Silo.

Sensors (Basel, Switzerland) Jun 28, 2021
To realize efficient operation of a silo, level management of internal storage is crucial. In this study, to address the existing measurement limitations, a silo hotspot detector, which is typically utilized for internal silo temperature monitoring, ...
Neural Networks, Computer Algorithms Computer Simulation
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